Please use this identifier to cite or link to this item: https://doi.org/10.1007/s00429-012-0430-5
Title: Faster scaling of visual neurons in cortical areas relative to subcortical structures in non-human primate brains
Authors: Collins, C.E.
Leitch, D.B.
Wong, P. 
Kaas, J.H.
Herculano-Houzel, S.
Keywords: Allometry
Area MT
Brain size
Evolution
Lateral geniculate nucleus
Superior colliculus
Thalamus
V1
Visual cortex
Issue Date: May-2013
Citation: Collins, C.E., Leitch, D.B., Wong, P., Kaas, J.H., Herculano-Houzel, S. (2013-05). Faster scaling of visual neurons in cortical areas relative to subcortical structures in non-human primate brains. Brain Structure and Function 218 (3) : 805-816. ScholarBank@NUS Repository. https://doi.org/10.1007/s00429-012-0430-5
Abstract: Cortical expansion, both in absolute terms and in relation to subcortical structures, is considered a major trend in mammalian brain evolution with important functional implications, given that cortical computations should add complexity and flexibility to information processing. Here, we investigate the numbers of neurons that compose 4 structures in the visual pathway across 11 non-human primate species to determine the scaling relationships that apply to these structures and among them. We find that primary visual cortex, area V1, as well as the superior colliculus (SC) and lateral geniculate nucleus scale in mass faster than they gain neurons. Areas V1 and MT gain neurons proportionately to the entire cerebral cortex, and represent fairly constant proportions of all cortical neurons (36 and 3 %, respectively), while V1 gains neurons much faster than both subcortical structures examined. Larger primate brains therefore have increased ratios of cortical to subcortical neurons involved in processing visual information, as observed in the auditory pathway, but have a constant proportion of cortical neurons dedicated to the primary visual representation, and a fairly constant ratio of about 45 times more neurons in primary visual than in primary auditory cortical areas. © 2012 Springer-Verlag.
Source Title: Brain Structure and Function
URI: http://scholarbank.nus.edu.sg/handle/10635/126493
ISSN: 18632653
DOI: 10.1007/s00429-012-0430-5
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